Soft-Computing in Capital Market

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Computational Finance, an exciting new cross-disciplinary research area, depends extensively on the tools and techniques of computer science, statistics, information systems and financial economics for educating the next generation of financial researchers, analysts, risk managers, and financial information technology professionals. This new discipline, sometimes also referred to as qFinancial Engineeringq or qQuantitative Financeq needs professionals with extensive skills both in finance and mathematics along with specialization in computer science. Soft-Computing in Capital Market hopes to fulfill the need of applications of this offshoot of the technology by providing a diverse collection of cross-disciplinary research. This edited volume covers most of the recent, advanced research and practical areas in computational finance, starting from traditional fundamental analysis using algebraic and geometric tools to the logic of science to explore information from financial data without prejudice. Utilizing various methods, computational finance researchers aim to determine the financial risk with greater precision that certain financial instruments create. In this line of interest, twelve papers dealing with new techniques and/or novel applications related to computational intelligence, such as statistics, econometrics, neural- network, and various numerical algorithms are included in this volume.Moreover, the detection of structure breaks in the stock market data is a key issue
for investors to obtain insight into the data and to study the ... While in Section 6
some important events are identified in the corresponding to the jump points.

Title

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Soft-Computing in Capital Market

Author

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Jibendu Kumar Mantri

Publisher

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Universal-Publishers - 2014-06-03

ISBN-13

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